Description

Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Course Fee: £399+VAT

Objectives

• Provision an Azure Databricks workspace and cluster
• Use Azure Databricks to train a machine learning model
• Use MLflow to track experiments and manage machine learning models
• Integrate Azure Databricks with Azure Machine Learning

Who Should Attend

This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks

Prerequisites

• Candidates planning to take up the DP-090 certification exam should have experience of using Python to work with data, and some knowledge of machine learning concepts.
• Before attending this course, complete the following learning path on Microsoft Learn: Create machine learning models.

Course Outline

Module 1: Introduction to Azure Databricks

In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

Lessons

• Getting Started with Azure Databricks
• Working with Data in Azure Databricks

Hands-on Lab : Getting Started with Azure Databricks

Hands-on Lab : Working with Data in Azure Databricks

Module 2: Training and Evaluating Machine Learning Models

In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

Lessons

• Preparing Data for Machine Learning
• Training a Machine Learning Model

Hands-on Lab : Training a Machine Learning Model

Hands-on Lab : Preparing Data for Machine Learning

Module 3: Managing Experiments and Models

In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

Lessons

• Using MLflow to Track Experiments
• Managing Models

Hands-on Lab : Using MLflow to Track Experiments

Hands-on Lab : Managing Models

Module 4: Integrating Azure Databricks and Azure Machine Learning

In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

Lessons

• Tracking Experiments with Azure Machine Learning
• Deploying Models

Hands-on Lab : Deploying Models in Azure Machine Learning

Hands-on Lab : Running Experiments in Azure Machine Learning